Matthew Guinibert
Biographic Data
| ID | 6662374 |
|---|---|
| NAME | Matthew Guinibert |
| GIVEN NAMES | Matthew |
| FAMILY NAME | Guinibert |
| SIGNATURE | GUINIBERT M |
| AFFILIATIONS | Auckland University of Technology |
| ORCID | 0000-0002-4000-1724 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Computer-assisted qualitative visual analysis
The advent of advanced artificial intelligence (AI) and machine learning technologies has opened new avenues for qualitative research, particularly in visual data analysis. This pilot study introduced computer-assisted qualitative visual analysis (CQVA), leveraging GPT-4 Turbo and Google Cloud Vision to automate the thematic analysis of visual datasets. Traditional methods, relying on manual coding, are time-consuming and labour-intensive. CQVA a…
The Human and the Machine
This Special Issue, ‘The Human and the Machine: AI Hopes and Fears in Media & Society’, navigates the complex landscape of artificial intelligence (AI), presenting a spectrum of perspectives on its transformative impact. The editorial introduces key articles that explore AI’s dual nature: its potential to drive innovation and efficiency in areas like criminal justice and journalism as well as the significant ethical, societal and environmental co…
Defining digital media as a professional practice in New Zealand
This study attempted to problematise and partially clarify digital media as a professional practice in New Zealand by analysing job advertisements. There were three key outcomes of the study. First, digital media was found to suffer from ambiguity as a practice. Second, six core facets of digital media as a professional practice were identified and help clarify what a digital media practitioner does. These are ‘digitisation’, ‘content’, ‘communic…
Learn from your environment
Based on the presupposition that visual literacy skills are not usually learned unaided by osmosis, but require targeted learning support, this article explores how everyday encounters with visuals can be leveraged as contingent learning opportunities. The author proposes that a learner’s environment can become a visual learning space if appropriate learning support is provided. This learning support may be delivered via the anytime and anywhere …
No prominent works on this page.
Learn from your environment
Based on the presupposition that visual literacy skills are not usually learned unaided by osmosis, but require targeted learning support, this article explores how everyday encounters with visuals can be leveraged as contingent learning opportunities. The author proposes that a learner’s environment can become a visual learning space if appropriate learning support is provided. This learning support may be delivered via the anytime and anywhere …
Defining digital media as a professional practice in New Zealand
This study attempted to problematise and partially clarify digital media as a professional practice in New Zealand by analysing job advertisements. There were three key outcomes of the study. First, digital media was found to suffer from ambiguity as a practice. Second, six core facets of digital media as a professional practice were identified and help clarify what a digital media practitioner does. These are ‘digitisation’, ‘content’, ‘communic…
Computer-assisted qualitative visual analysis
The advent of advanced artificial intelligence (AI) and machine learning technologies has opened new avenues for qualitative research, particularly in visual data analysis. This pilot study introduced computer-assisted qualitative visual analysis (CQVA), leveraging GPT-4 Turbo and Google Cloud Vision to automate the thematic analysis of visual datasets. Traditional methods, relying on manual coding, are time-consuming and labour-intensive. CQVA a…
The Human and the Machine
This Special Issue, ‘The Human and the Machine: AI Hopes and Fears in Media & Society’, navigates the complex landscape of artificial intelligence (AI), presenting a spectrum of perspectives on its transformative impact. The editorial introduces key articles that explore AI’s dual nature: its potential to drive innovation and efficiency in areas like criminal justice and journalism as well as the significant ethical, societal and environmental co…
Computer Science (3 works) · Psychology (3 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Literacy, Media, and Education (2 works) · Pedagogy (2 works) · Political science (2 works) · Ambiguity (1 work) · Best practice (1 work) · Cartography (1 work)